* Run cargo +nightly fmt
* Latest prost-build includes clippy workaround
* Tweak Rust protobuf imports
- Avoid use of stringify!(), as JetBrains editors get confused by it
- Stop merging all protobuf symbols into a single namespace
* Remove some unnecessary qualifications
Found via IntelliJ lint
* Migrate some asserts to assert_eq/ne
* Remove mention of node_modules exclusion
This no longer seems to be necessary after migrating away from Bazel,
and excluding it means TS/Svelte files can't be edited properly.
* Facilitate updating of hooks
- Add instructions in contributing.md
- Change addon_config_editor_will_update_json hook to work with the new
hookslib code
* Fix typo in docs
* Always run replaced hook
* Use lowercase list for typing
* Forbid defining both a replaced and a legacy hook
(for upgrading users, please see the notes at the bottom)
Bazel brought a lot of nice things to the table, such as rebuilds based on
content changes instead of modification times, caching of build products,
detection of incorrect build rules via a sandbox, and so on. Rewriting the build
in Bazel was also an opportunity to improve on the Makefile-based build we had
prior, which was pretty poor: most dependencies were external or not pinned, and
the build graph was poorly defined and mostly serialized. It was not uncommon
for fresh checkouts to fail due to floating dependencies, or for things to break
when trying to switch to an older commit.
For day-to-day development, I think Bazel served us reasonably well - we could
generally switch between branches while being confident that builds would be
correct and reasonably fast, and not require full rebuilds (except on Windows,
where the lack of a sandbox and the TS rules would cause build breakages when TS
files were renamed/removed).
Bazel achieves that reliability by defining rules for each programming language
that define how source files should be turned into outputs. For the rules to
work with Bazel's sandboxing approach, they often have to reimplement or
partially bypass the standard tools that each programming language provides. The
Rust rules call Rust's compiler directly for example, instead of using Cargo,
and the Python rules extract each PyPi package into a separate folder that gets
added to sys.path.
These separate language rules allow proper declaration of inputs and outputs,
and offer some advantages such as caching of build products and fine-grained
dependency installation. But they also bring some downsides:
- The rules don't always support use-cases/platforms that the standard language
tools do, meaning they need to be patched to be used. I've had to contribute a
number of patches to the Rust, Python and JS rules to unblock various issues.
- The dependencies we use with each language sometimes make assumptions that do
not hold in Bazel, meaning they either need to be pinned or patched, or the
language rules need to be adjusted to accommodate them.
I was hopeful that after the initial setup work, things would be relatively
smooth-sailing. Unfortunately, that has not proved to be the case. Things
frequently broke when dependencies or the language rules were updated, and I
began to get frustrated at the amount of Anki development time I was instead
spending on build system upkeep. It's now about 2 years since switching to
Bazel, and I think it's time to cut losses, and switch to something else that's
a better fit.
The new build system is based on a small build tool called Ninja, and some
custom Rust code in build/. This means that to build Anki, Bazel is no longer
required, but Ninja and Rust need to be installed on your system. Python and
Node toolchains are automatically downloaded like in Bazel.
This new build system should result in faster builds in some cases:
- Because we're using cargo to build now, Rust builds are able to take advantage
of pipelining and incremental debug builds, which we didn't have with Bazel.
It's also easier to override the default linker on Linux/macOS, which can
further improve speeds.
- External Rust crates are now built with opt=1, which improves performance
of debug builds.
- Esbuild is now used to transpile TypeScript, instead of invoking the TypeScript
compiler. This results in faster builds, by deferring typechecking to test/check
time, and by allowing more work to happen in parallel.
As an example of the differences, when testing with the mold linker on Linux,
adding a new message to tags.proto (which triggers a recompile of the bulk of
the Rust and TypeScript code) results in a compile that goes from about 22s on
Bazel to about 7s in the new system. With the standard linker, it's about 9s.
Some other changes of note:
- Our Rust workspace now uses cargo-hakari to ensure all packages agree on
available features, preventing unnecessary rebuilds.
- pylib/anki is now a PEP420 implicit namespace, avoiding the need to merge
source files and generated files into a single folder for running. By telling
VSCode about the extra search path, code completion now works with generated
files without needing to symlink them into the source folder.
- qt/aqt can't use PEP420 as it's difficult to get rid of aqt/__init__.py.
Instead, the generated files are now placed in a separate _aqt package that's
added to the path.
- ts/lib is now exposed as @tslib, so the source code and generated code can be
provided under the same namespace without a merging step.
- MyPy and PyLint are now invoked once for the entire codebase.
- dprint will be used to format TypeScript/json files in the future instead of
the slower prettier (currently turned off to avoid causing conflicts). It can
automatically defer to prettier when formatting Svelte files.
- svelte-check is now used for typechecking our Svelte code, which revealed a
few typing issues that went undetected with the old system.
- The Jest unit tests now work on Windows as well.
If you're upgrading from Bazel, updated usage instructions are in docs/development.md and docs/build.md. A summary of the changes:
- please remove node_modules and .bazel
- install rustup (https://rustup.rs/)
- install rsync if not already installed (on windows, use pacman - see docs/windows.md)
- install Ninja (unzip from https://github.com/ninja-build/ninja/releases/tag/v1.11.1 and
place on your path, or from your distro/homebrew if it's 1.10+)
- update .vscode/settings.json from .vscode.dist
All platforms:
- rename scripts/ to tools/: Bazelisk expects to find its wrapper script
(used by the Mac changes below) in tools/. Rather than have a separate
scripts/ and tools/, it's simpler to just move everything into tools/.
- wheel outputs and binary bundles now go into .bazel/out/dist. While
not technically Bazel build products, doing it this way ensures they get
cleaned up when 'bazel clean' is run, and it keeps them out of the source
folder.
- update to the latest Bazel
Windows changes:
- bazel.bat has been removed, and tools\setup-env.bat has been added.
Other scripts like .\run.bat will automatically call it to set up the
environment.
- because Bazel is now on the path, you can 'bazel test ...' from any
folder, instead of having to do \anki\bazel.
- the bat files can handle being called from any working directory,
so things like running "\anki\tools\python" from c:\ will work.
- build installer as part of bundling process
Mac changes:
- `arch -arch x86_64 bazel ...` will now automatically use a different
build root, so that it is cheap to switch back and forth between archs
on a new Mac.
- tools/run-qt* will now automatically use Rosetta
- disable jemalloc in Mac x86 build for now, as it won't build under
Rosetta (perhaps due to its build scripts using $host_cpu instead of
$target_cpu)
- create app bundle as part of bundling process
Linux changes:
- remove arm64 orjson workaround in Linux bundle, as without a
readily-available, relatively distro-agonstic PyQt/Qt build
we can use, the arm64 Linux bundle is of very limited usefulness.
- update Docker files for release build
- include fcitx5 in both the qt5 and qt6 bundles
- create tarballs as part of the bundling process
Brings Python in line with our other dependencies, and means users
no longer need to install it prior to building, or deal with
issues caused by having the wrong version available.
* replaces Dockerfile using bazel-based build system
This commit updates the Dockerfile to work with anki's bazel-based build
system.
The anki Dockerfile was originally added in
https://github.com/ankitects/anki/pull/753 back in September 2020. The
file was moved to `docs/Dockerfile` in
e4ba941cf1, with a note that the file had
to be updated to work with anki's updated build system. The file
`docs/Dockerfile` was removed in
f2e2ef6fc0.
* install setuptools and wheel + xkb libraries
* install anki virtual env in fresh base image
* move Dockerfile out of root directory
* add readme file for dockerized anki
Recommend removing ts/node_modules folder before attempting to
build after this update.
This moves ts/node_modules into the root of the project to work around
https://github.com/ankitects/anki/pull/1405#issuecomment-936213861
Also fixes the sass errors shown when running scripts/svelte-check
With proper excludes set up, starting it outside of Bazel is similarly
fast, and unit tests work correctly. It also makes initial Bazel startup
faster, as the Rust sources no longer need to be fetched.
In order to split backend.proto into a more manageable size, the protobuf
handling needed to be updated. This took more time than I would have
liked, as each language handles protobuf differently:
- The Python Protobuf code ignores "package" directives, and relies
solely on how the files are laid out on disk. While it would have been
nice to keep the generated files in a private subpackage, Protobuf gets
confused if the files are located in a location that does not match
their original .proto layout, so the old approach of storing them in
_backend/ will not work. They now clutter up pylib/anki instead. I'm
rather annoyed by that, but alternatives seem to be having to add an extra
level to the Protobuf path, making the other languages suffer, or trying
to hack around the issue by munging sys.modules.
- Protobufjs fails to expose packages if they don't start with a capital
letter, despite the fact that lowercase packages are the norm in most
languages :-( This required a patch to fix.
- Rust was the easiest, as Prost is relatively straightforward compared
to Google's tools.
The Protobuf files are now stored in /proto/anki, with a separate package
for each file. I've split backend.proto into a few files as a test, but
the majority of that work is still to come.
The Python Protobuf building is a bit of a hack at the moment, hard-coding
"proto" as the top level folder, but it seems to get the job done for now.
Also changed the workspace name, as there seems to be a number of Bazel
repos moving away from the more awkward reverse DNS naming style.
- bumps rust version to 1.53
- drops support for incremental building, which is currently
disabled in stable Rust releases due to bugs. 'cargo check' can still
be used to quickly check things compile
